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← Nebius

Data Engineer

Nebius
Location
Germany; Israel; Netherlands; Prague, Czech Republic; Remote - Europe; United Kingdom
Posted
16 days ago
Department
Technology
What they actually want (must-haves)
  • 5+ years of experience in data engineering, backend engineering, or a related role; or equivalent experience delivering and operating production data systems.
  • Proven experience independently delivering complex data pipelines or data-platform capabilities from problem definition through production operation.
  • Strong Python and SQL skills, including writing maintainable production code and optimizing non-trivial queries.
  • Hands-on experience with workflow orchestration tools such as Airflow, Prefect, or Dagster.
  • Strong understanding of data modeling, including designing maintainable analytical models and data contracts for multiple consumers.
  • Solid knowledge of data architectures and storage systems, including the trade-offs between different processing and storage approaches.
Nice to have
  • Experience with real-time or event-driven data platforms and streaming technologies.
  • Experience building or operating cloud-native services with Docker and Kubernetes.
  • Familiarity with Infrastructure as Code, particularly Terraform.
  • Experience with data governance, access control, privacy, and compliance requirements such as GDPR or SOC 2.
  • Experience with data observability and quality tools or frameworks, such as Great Expectations.
What the job really is

As a Senior Data Engineer at Nebius, you will be responsible for designing, delivering, and operating complex data pipelines and datasets that support analytics and data-driven products. You will collaborate with product and business teams to translate requirements into scalable data models, improve data quality and reliability, and mentor other engineers. Your role will also involve making architectural decisions and participating in on-call rotations to maintain system health.

Benefits
  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and ownership
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams
Things to weigh
  • No salary listed
  • Expectations for on-call rotation may require additional commitment
  • Role involves both technical and mentoring responsibilities, which may vary in focus
Job score3.2/5
Benefits3/5
Freshness4/5
Career value4/5
Role clarity5/5
Pay transparency0/5

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